Fei Mao

Title: Fei Mao and Computer-Assisted Lung Nodule Detection.

Introduction

Fei Mao is an inventor associated with the University of South Florida in Tampa, Florida. His patent work addresses computer-assisted analysis of chest X-ray images, with a focus on detecting suspicious regions that may indicate lung nodules.

Latest Patents

Mao is credited with 1 patent: “Computer-Assisted Method and Apparatus for the Detection of Lung Nodules.” The invention describes a modular computer-assisted diagnostic system designed to enhance, detect, and classify suspicious areas in digital X-ray images. Its goal is to improve detection sensitivity and specificity while keeping false-positive results low.

The method uses multiple diagnostic modules for image preprocessing, selective enhancement, segmentation, and feature extraction. It applies a multiresolution, multiorientation wavelet transform and a computationally efficient 1.5-dimensional circular pattern filter. The system is intended to operate potentially automatically and to serve as a second-opinion aid for lung nodule detection.

Career Highlights

Mao’s listed patent connects his work with medical imaging and computer-assisted diagnosis. The invention focuses on processing chest X-rays to help identify lung nodules and other suspicious regions.

Collaborations

The provided information lists Wei Qian and Laurence P. Clarke as Mao’s coworkers. Their names are associated with the same professional context at the University of South Florida.

Conclusion

Fei Mao’s patent describes a modular approach to computer-assisted lung nodule detection, combining image enhancement and feature analysis to support the interpretation of chest X-rays.